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Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 Data trust is becoming one of the most important challenges in the era of AI analytics. Self-service analytics has always required strong foundations. Now, with the rise of LLMs and AI agents, the opportunity is bigger, but so is the risk. Pointing an AI assistant at a warehouse can create a false sense of precision if the underlying data model, definitions, documentation and ownership are not clear. As a Data & AI Governance Specialist at seQura, you will help build the foundations that allow teams to find, trust, understand and apply data and AI safely, autonomously and responsibly. You will work at the intersection of business, data, AI, legal, privacy and security teams, translating complex requirements into clear workflows, usable standards and technical solutions. What challenges you'll be solving 🚀 Collaborate with domain stewards and analysts to maintain a unified data dictionary, clear business metric definitions and AI model documentation. Partner with Core Data, Data Science & AI, Business and Engineering teams to implement automated data quality checks across pipelines, health and performance monitoring dashboards/alerts. Manage and improve the data catalog, AI model inventory and model registry so assets are organized, searchable, well documented and easy to understand. Help Data Champions and AI Owners succeed by giving them clear templates, training, tooling and documentation rather than relying on manual approval gates. Act as the operational bridge between Legal, Privacy, Security and Data & AI teams to support GDPR, SOC 2 and EU AI Act readiness. Champion a culture where quality and responsible AI are collective responsibilities, supported by automation, ownership and practical enablement. About the Data team 🧩 Team mission To amplify seQura’s value by enabling anyone to autonomously find, trust, understand and apply data and AI to make smarter decisions. What we own You will join the Data & AI Governance vertical, working closely with the Data Governance Lead, the wider Data & AI team and business stakeholders across seQura. This team owns the foundations that make self-service analytics and responsible AI possible: metadata, documentation, ownership, quality standards, lineage, data and model discoverability, access governance and AI risk workflows. How we work Data is treated as a product , with clear ownership, quality standards, and consumers. Governance acts as an enablement layer , rather than a blocker. Self-service systems are prioritized over manual approval processes. Close collaboration with domain experts helps turn business knowledge into reusable, trusted data assets. What to expect in the next 90 days 🏁 Month 1 You will onboard into seQura’s Data & AI organization, understand how our data model, access groups and governance practices work today, and start researching the semantic layer foundations needed to support reliable AI-assisted analytics. Month 2 You will start working on metadata and ontology graph initiatives, helping connect business concepts to the right data entities, definitions and ownership structures. Month 3 You will contribute to warehouse optimization and access marketplace initiatives, helping make governed data assets easier to discover, request, use and maintain across teams. Tech stack & environment 🛠️ You will work with tools and systems that support data cataloging, metadata management, self-service analytics, data quality, access governance and documentation. What you’ll need 🤝 Must have: Ability to translate business, legal or privacy requirements into practical solutions with technical teams. 2 to 5 years of hands-on experience in any of these areas: Data Governance, Data Quality Engineering, Analytics Engineering, AI Operations or a related area. Experience working with data teams to implement policies, standards or governance practices in real systems. Experience operating modern data catalog, metadata or documentation tools. Strong communication skills across business stakeholders, technical data teams and legal or privacy teams. Strong analytical ability to trace data quality issues back through pipelines, models or workflows and support root-cause resolution. A self-service mindset: you prefer clear standards, automation and enablement over manual approval gates. Nice to have: Practical understanding of AI and ML lifecycles. Experience with Generative AI application patterns. Understanding of AI cataloging, model inventories or model registries. Familiarity with AI bias detection or mitigation practices. Working knowledge of foundational AI privacy and regulatory requirements, including the EU AI Act. Experience with OpenMetadata, Metabase, Omni, Redshift, Claude or similar tools. Experience supporting semantic layer, ontology graph, access marketplace or data ownership initiatives. Working knowledge of foundational data privacy requirements such as GDPR and SOC 2. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid work from Barcelona Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); AU: Sydney (45 Clarence St); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role / impact Xero is building the shared platform services that will sit underneath some of our most important product and technology bets. As the Head of Product for AI Shared Services, you will lead the strategy and execution of platform areas such as Eventing, Communications, and Search among others, shaping the next generation of products and standards that teams across Xero rely on. This is a chance to turn fragmented tools and experiments into coherent, reusable capabilities, so Xeros spend less time rebuilding foundations and more time delivering value to Xero’s customers. It is a high impact, high visibility role, with plenty of scope to learn, shape, and grow. The team / how they connect This team looks after the platform foundations that power AI capabilities across Xero, working closely with Product, Engineering, Security, Infrastructure, Data and Operations. The team partners closely with product areas across the business. The team is currently working on / Initially, you will focus on - Setting the strategy for the AI Shared Services domain, alongside a roadmap for the quarters ahead - Establishing the key metrics and dashboards that will help the business track progress and success - Building relationships with stakeholders across the business - Growing adoption of shared AI capabilities across multiple product and engineering teams over time Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we are looking for - You bring strong product leadership across platform products, infrastructure, developer experience or enterprise services - Managing a portfolio of interdependent products - Technical fluency across distributed systems, eventing, communication and data platforms and cloud environments comes naturally to you - Strong commercial judgement helps you build the case for investment in shared capabilities - Leading through ambiguity, competing priorities and dependency complexity is something you handle with a level head - You have a track record of growing people and teams, and helping them see how their work connects to the bigger picture This role calls for someone ready to go bold on a space that is moving fast, breaking down ambiguity into tangible goals, and going further and together with teams across the business to build something that lasts. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Dubai, United Arab Emirates Kaizen is looking for an experienced Director of Unit Management to lead our secondary market strategy, drive property transaction volume, optimize unit portfolio performance, and deliver sustainable revenue and asset value growth. This role goes beyond traditional sales management the Director will shape and execute the secondary market commercial strategy, end-to-end unit lifecycle management, strengthen stakeholder relationships, and align operations with Kaizen’s long-term business objectives. You will lead a high-performing team, nurture B2C client relationships , and collaborate cross-functionally to deliver seamless property transactions, superior unit performance, and exceptional client experiences. Key Responsibilities Unit Portfolio Performance Develop and execute secondary market strategies for resales, off-plan resales, leasing, and unit disposition — driving transaction volume, market share, and revenue Own end-to-end unit portfolio management: inventory oversight, valuation, pricing, marketing readiness, and lifecycle optimization from listing to close Maximize asset value, minimize holding periods, and optimize yield through data-driven pricing, targeted promotion, and timely disposition Monitor UAE/GCC market trends, supply-demand dynamics, regulatory updates, and competitor activity to inform pricing and positioning Track portfolio KPIs: sales velocity, days on market, price realization, lease renewal rates, vacancy, and revenue per unit B2C Growth & Platform Services Own full P&L, revenue targets, client satisfaction, and profitability for the B2C homeowner division Design and execute acquisition, engagement, and monetization strategies anticipating key lifecycle moments (ready to sell, revalue, lease, renovate) to deliver timely, trusted solutions Build, scale, and optimize a partner-led service marketplace; onboard, manage, and assure quality across provider networks Leverage existing developer, property manager, and owner relationships to accelerate growth ahead of competitors Define commercial models, pricing, and service standards; oversee end-to-end client experience and recommend strategic adjustments (expand, refine, or pivot) based on performance Client, Stakeholder & Relationship Management Build and maintain trusted relationships with individual homeowners, buyers, tenants, investors, developers, brokers, and institutional partners Drive client retention, repeat business, and referrals through proactive engagement, transparent communication, and personalized guidance Lead commercial negotiations, valuations, listing agreements, tenders, and complex transactions — tailoring solutions to individual client needs Represent Kaizen as a market expert; uphold service excellence and trust across all client interactions Operational Excellence & Process Leadership Establish clear KPIs, accountability frameworks, and reporting standards across transactions, listings, portfolio performance, and client satisfaction Continuously refine end-to-end journeys — from inquiry → consultation → valuation → transaction → post-closing support & services Leverage CRM, analytics, valuation tools, and digital solutions to boost productivity, market intelligence, and client engagement People Leadership & Culture Lead, mentor, and develop a high-performing team across secondary market sales, unit management, and B2C services Set clear objectives, coach for results, and nurture expertise in transaction excellence, B2C relationship-building, and service delivery Foster a collaborative, client-first, high-performance culture; role-model Kaizen’s values and leadership standards Requirements Bachelor’s degree in Business, Finance, Real Estate, or related field; MBA or advanced degree preferred Significant leadership experience in secondary market sales, property transactions, portfolio management, B2C growth, or marketplace/platform businesses Deep proven knowledge of the UAE/GCC real estate market , regulations, valuation practices, and transaction workflows Strong B2C track record : successfully advising individual owners, buyers, and tenants; building trust, explaining complex processes clearly, and delivering high satisfaction Proven ability to grow revenue, optimize portfolios, and scale service lines with measurable results Experience building partner ecosystems, marketplace models, or platform-led services Established network across developers, investors, property owners, brokers, and key stakeholders in the UAE/GCC Strong commercial acumen: P&L ownership, pricing strategy, forecasting, negotiation, and stakeholder management Fluent English; Arabic is a strong advantage Strategic thinker who translates vision into actionable plans and measurable results

Location: Indonesia The Company Our client is a leading international education provider that is dedicated and passionate about helping students around the world, creating a brighter future and reaching their full potential. With university partnerships and a variety of face-to-face, online, and hybrid study programmes, they are able to provide students with the resources and guidance they need to succeed. Their global network of offices and university partnerships ensure that students receive the best educational services available. Additionally, their Insendi platform enables them to deliver innovative, accessible, and intuitive digital learning experiences with the most advanced digital tools available. The Role Our client looking for an experienced Senior Account Manager to manage and grow their portfolio of education-agent partners across Indonesia. This is a commercially focused B2B/channel account management role, with the primary objective of strengthening existing agent relationships, increasing student recruitment and identifying opportunities to grow our client's presence in the Indonesian market. You will act as a key commercial partner to education agents, positioning our client's portfolio as a provider of choice for international higher education programmes. The role is approximately 60–70% account management and partner development ("farming") and 30–40% new business development ("hunting"), making this an ideal opportunity for someone who enjoys both nurturing strategic relationships and developing new commercial opportunities. You will work independently as part of a wider Southeast Asia team and report to the Associate Recruitment Director, Southeast Asia. Key Responsibilities Account Management & Partner Development Own and develop a portfolio of education-agent partners across Indonesia, including both strategic/master agents and smaller boutique agencies. Build strong, long-term relationships with key decision-makers and act as a trusted commercial partner. Develop and execute account plans to grow student recruitment and partner performance. Identify opportunities to increase the productivity, engagement and contribution of existing partners. Monitor partner performance, identify risks and implement appropriate actions to maintain and grow accounts. Ensure partners understand and adhere to relevant processes, service-level expectations and our client's requirements. Provide high-quality product, process and sales training to agent partners. Business Development & Sales Identify, approach and onboard new education-agent partners across Indonesia. Manage the sales pipeline from lead generation through to conversion and activation. Build and maintain a strong network of prospective and existing agents. Achieve agreed student recruitment and revenue/value targets. Identify market trends, customer needs and emerging opportunities to support student recruitment growth. Work closely with product sales and marketing teams to develop and execute effective market strategies. Represent our client and its brands at exhibitions, recruitment fairs, agent events and other industry activities. Market & Competitor Intelligence Monitor competitor activity and developments within the international education market. Share insights on market trends, competitor positioning and agent/customer behaviour. Identify opportunities and risks within the Indonesian market and provide recommendations to the wider team. Requirements Our client is looking for a commercially driven relationship builder with strong experience in the international education sector and a proven track record of managing education-agent networks. You will ideally have: 6+ years of relevant professional experience , preferably in account management, B2B sales, channel sales, business development or partner management. Strong, hands-on experience managing a substantial portfolio of education agents , ideally 20+ active partners or a portfolio of major/master agents with multiple branches. Proven experience developing and maintaining relationships with Indonesian education agents. A strong understanding of the international student recruitment ecosystem and education-agent model . Experience managing both strategic/key accounts and smaller partner agencies. A demonstrable track record of achieving commercial or student recruitment targets. Strong business development skills, including lead generation, cold calling and new-agent acquisition. A consultative, customer-focused approach to relationship and account management. Strong commercial awareness and the ability to identify partner growth opportunities and manage account risks. Excellent communication and presentation skills, with strong written and spoken English . Strong organisational skills, attention to detail and the ability to manage multiple priorities independently. Willingness and ability to travel regularly across Indonesia to meet agents and attend recruitment and industry events.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE FINANCIAL SERVICES TEAM - Our financial services customers span systemically important banks, neobanks committed to building more delightful banking software (1 in 3 of the world's leading banks use Sierra!), insurers that provide protection for life’s most challenging moments, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity. - Our financial services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle - the instant before a family learns whether they are pre-approved for a mortgage; the claustrophobic half hour after someone notices a fraudulent charge; the frustrating experience of losing a card and needing to order a new one. - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone. WHAT YOU'LL DO - Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU'LL BRING - 5-10+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience in financial services, such as banking, fintech, lending, payments, insurance, mortgages, or wealth management. - A track record of taking products from ambiguous customer problems through launch and meaningful scale. - Strong technical fluency and the ability to reason about APIs, data flows, system architecture, AI systems, integrations, and failure modes. - Exceptional product judgment, including the ability to balance customer needs, speed, reliability, risk, and long-term platform leverage. - Experience working directly with enterprise customers and communicating effectively with both executives and deeply technical teams. - A builder mindset: you prototype, investigate, and work hands-on rather than relying solely on process. - Clear, structured communication, with the ability to explain complex technical and AI concepts to diverse audiences and create alignment in fast-moving, ambiguous environments. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Chicago, United States Workplace: remote What You'll Do Lead new business development for AI Digital’s Smart Supply offering, with a focus on holding companies and their agencies. Build relationships with media planners, buyers, programmatic and investment teams, and senior media leaders. Identify new opportunities through outreach, networking, meetings, and industry events. Turn account segmentation and mapping into clear sales and outreach plans. Manage and develop an initial team of three BDRs, with the potential to grow the team. Improve sales processes, strategies, and best practices for the Smart Supply business development function. Partner with Revenue, Growth, Strategy, and other internal teams. Represent AI Digital at client meetings and industry events, with regular travel to key markets. What You Bring Strong business development or sales experience in ad tech, programmatic advertising, digital media, or a related field. Proven success generating new business and building a sales pipeline. Experience selling into major holding companies and navigating agency structures. Strong understanding of media planning, buying, programmatic, and investment teams. Experience managing and developing a business development or sales team, ideally with 3–4 direct reports. Ability to build strong relationships with senior stakeholders and key decision-makers. A proactive hunter who can create and execute effective sales strategies. Strong communication, presentation, and negotiation skills. Willingness to travel regularly. Must be based in Chicago, New York, or Los Angeles. What You Get Competitive salary that values your expertise. ‍ Work from anywhere: fully remote to suit your lifestyle. ‍ Unlimited PTO that we actually encourage you to use — for adventures, recovery, or just because. Growth-focused environment : access to learning resources and clear pathways for growth. Fun team events: from virtual pasta-making to yoga sessions, we make remote feel close. A culture of trust: we cut the red tape — open talk, ownership, and getting things done together. Results over rules, always. Health insurance and ClassPass coverage: supporting your well-being both inside and outside of work. Reimbursement of work-related commute expenses. ‍ Hiring Flow Screening Interview (up to 45 minutes): initial conversation with a recruiter. Initial interview with the hiring manager (up to 30 minutes): a meeting with Cole Crawford to assess team fit and discuss role-specific responsibilities, expectations and workflows. Interview with SVP of Revenue Operations and Business Development (Up to 30 minutes): meet with James Long for an in-depth discussion of your experience and skills. Final interview with CRO. Offer: if successful, you’ll receive an offer to join our team.

Key Responsibilities: — Serve as a trusted, consultative partner to clients post-sale, ensuring they achieve measurable value and success with the organization’s products and services. — Maintain a deep understanding of clients’ industries, business objectives, and market challenges to provide relevant recommendations and insights. — Assist in client onboarding, product implementation, and training to ensure a smooth and effective customer experience. — Proactively engage with clients to ensure product or service functionality, identify potential issues early, and provide solutions that maximize satisfaction. — Collaborate cross-functionally with sales, marketing, product, and technical teams to align on client goals and ensure consistent delivery of service. — Track key success metrics, such as client engagement, adoption rates, renewals, and churn, to measure and drive customer health and satisfaction. — Identify opportunities for client growth, including up-sell and cross-sell potential, by aligning product capabilities with customer needs. — Conduct regular business reviews with clients to evaluate performance outcomes, gather feedback, and recommend enhancements. — Develop and maintain documentation for client accounts, including activity records, success plans, and performance summaries. — Act as a client advocate within the organization, communicating feedback to improve product features, services, and support. — Stay current with industry trends and product developments to serve as a knowledgeable resource for clients. Qualifications: — Bachelor’s degree in Business Administration, Marketing, Communications, or a related field preferred. — 3–5 years of experience in customer success, account management, or client services, preferably in a SaaS or technology-driven environment. — Proven ability to manage customer relationships and deliver measurable results in retention and satisfaction. — Strong communication, interpersonal, and presentation skills. — Analytical mindset with experience using customer success metrics and tools to measure engagement and performance. — Proficiency with CRM and customer success software (e.g., Salesforce, Gainsight, HubSpot, ChurnZero). — Excellent problem-solving skills and ability to anticipate client needs. — Strong organizational skills with the ability to manage multiple clients and priorities simultaneously. — Collaborative and customer-oriented mindset with a passion for driving client success. Benefits: — 100% company-paid medical, dental, and vision plans. — Unlimited Flexible Time Off. — Personalized career roadmap for each employee. — Professional development through training and educational opportunities. — Supportive environment prioritizing physical, mental, and emotional well-being of employees and their families.

Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The Model Performance organization at Baseten is looking to hire our first Technical Program Manager. This is a zero-to-one role in a team that is responsible for building the core algorithms and methods that power Baseten’s high performance inference stack. You won't inherit an existing program framework, you'll build one from the ground up: the planning structure, execution processes, metrics and the cross-functional alignment that a fast-growing organization needs. Your contributions will directly impact how fast our performance R&D gets productized. If you can drive turning a set of ambitious but loosely defined initiatives into a predictable, well-governed program, this role is for you. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Model Performance team: - How to build a day-0 API for Kimi K3 https://www.baseten.co/blog/how-to-build-a-day-zero-api-for-kimi-k3/ - How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/ - Inference engineering for DeepSeek V4 Pro 0813 https://www.baseten.co/blog/inference-engineering-for-deepseek-v4-pro-0813/ RESPONSIBILITIES - Own execution across Model Performance's active project portfolio, freeing the team's technical leads to focus on technical direction rather than tracking. - Design and stand up the planning structures, operating cadences, and status reporting mechanisms that best fits the team’s DNA. - Coordinate model release and optimization programs end to end, including day-zero launches, sequencing the work across performance engineering, infra, and release stakeholders. - Drive cross-team alignment as scope expands from Model Performance Core into Model APIs and the inference production stack (BIS). - Surface risks and dependencies early, and keep leadership informed with clear, honest status. - Partner with engineering leads to design team structures and ownership boundaries as the org scales. REQUIREMENTS - Deep technical program management experience - you're already running programs of this scope at an organization of similar or greater complexity. - Experience program-managing model performance or inference optimization work - you understand how engines like vLLM, TensorRT-LLM, SGLang, or NVIDIA Dynamo fit into a production serving stack and can engage credibly with the engineers building on them. - Demonstrated comfort with ambiguity and zero-to-one program building, not just executing an existing framework. - Proven ability to influence without authority across engineers, managers, and leadership who don't report to you. - Excellent written and verbal communication, with the ability to make deeply technical programs legible to any audience. - High agency decision making that demonstrates ownership, accountability and a strong desire to get things done. NICE TO HAVE - Experience coordinating model release programs, including day-zero launches (ideally for large-scale models). - Prior hands-on software engineering background. - Deep learning performance optimization background, in training or inference, with inference preferred. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: North America, EU, UK AI Security Researcher / Research Engineer Remote or hybrid - London preferred but North America, EU, UK accepted About Brave: Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! Summary We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent (https://brave.com/blog/ai-browsing/) and chatbot, and help set Brave's direction on how we identify, measure, and reduce security risk across AI products. Responsibilities Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration) Analyze model behavior (including internal thoughts) to understand and forecast security risks in frontier models Develop and prototype security-focused training and fine-tuning techniques Augment web agents with security principles including information flow control, privilege control and contextual security Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements Help define a forward-looking security strategy and policy for building and responsibly releasing web agents—advocating for user protection You may be a good fit if you have Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails) Strong publication record in AI security, ML security, or closely related areas A track record of shipping products and features inside a fast-moving environment Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX Experience training, fine-tuning, and evaluating large language models Deep familiarity with large language models and web agents, how they work, and how they are trained Experience applying security principles (e.g., information flow control, access control/least privilege) Demonstrated success in bringing clarity and ownership to ambiguous technical problems A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience Skills That Will Set You Apart from the Competition Knowledge of AI Systems (pipelines, security evaluation, etc.) Open source projects on security/privacy Experience with confidential computing and ZKP/SMPC protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance, or ML Work experience in industry is desirable Working at Brave - What we offer Ability to work at an exciting and well-funded international startup headquartered in San Francisco Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions Competitive compensation and plenty of room for personal growth Great international exposure and team atmosphere We are looking to hire in London but would consider an exceptional candidate in the rest of Europe. NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics Evaluate and implement emerging technologies to modernize integration architecture Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions Track record of leading technical workstreams during ERP transformations or major system migrations Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) Experience leveraging agentic development workflows Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations. Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions Minimum qualifications Experience as a people manager Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research Experience performing content review, abuse investigations, or policy enforcement at volume Proficiency in SQL and/or Python for data analysis and threat detection Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Preferred qualifications Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company Experience with large language models and an understanding of how AI technology could be misused for cyber operations Experience operating within abuse monitoring programs or enforcement review systems Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Experience working with government agencies, regulated environments, or information sharing communities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; New York City ABOUT THE ROLE The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code. Our work helps teams move from an idea to production faster, without compromising quality or reliability. We own the end-to-end development experience at Perplexity, from the environment where code is written to the systems that ship it to production. That includes local and cloud coding environments, build and test infrastructure, code review, and release management. We’re also building autonomous software development systems, where agents take on increasingly complex engineering work with explicit evaluation, verification, and safety controls. We own both the infrastructure these systems depend on and the workflows that make them useful. As an AI Acceleration Engineer, you’ll turn emerging agent capabilities into dependable systems used across Perplexity. You’ll work directly with engineers to understand where development slows down, experiment with new approaches, and take promising ideas through to production. This role combines systems engineering, developer experience, and hands-on agent development, with a direct measure of success: helping teams spend less time on delivery overhead and more time building products. RESPONSIBILITIES - Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI. - Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work. - Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling. - Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through better tooling, interfaces, documentation, and context. - Take agent-driven workflows from prototype to production, building the evaluations, verification, and controls needed to delegate increasingly complex engineering work safely. - Improve delivery speed and software quality together. Measure the impact of your work on development time, review effort, and production reliability, and use those results to guide what comes next. - Evaluate emerging models, tools, and approaches through hands-on experimentation. Turn the evidence into clear technical decisions, and drive adoption of the technologies that prove useful. - Use AI extensively in your own engineering work, share what works, and help colleagues adopt effective practices. Partner with engineering leadership and recruiting to strengthen how we hire and develop engineers who work effectively with AI. QUALIFICATIONS - 5+ years of software engineering experience, ideally with substantial work in infrastructure, platform engineering, or developer productivity in technically complex environments. - Daily, hands-on use of AI models and coding tools, with practical judgment about where they perform well, where they fail, and how to verify their output. - Strong proficiency in one of the languages – Python, Go or Rust, along with the willingness to learn other languages as the work requires. - Broad familiarity with the systems used by AI product and applied research teams, including cloud infrastructure, distributed systems, data pipelines, and ML tooling. You don’t need deep expertise in every layer, but you should understand how they fit together. - An ability to understand how engineers and researchers across disciplines work, paired with curiosity about the needs of business and operations teams. You build tools around users’ actual workflows and constraints. - A drive to make codebases, systems, and processes easier to understand, operate, and change. You look for ways to replace brittle workflows and implicit knowledge with clear interfaces and reliable automation. - Sound technical judgment about when to experiment, when to commit, and when to ship a pragmatic solution. You can balance immediate delivery with investments that make future work faster and more reliable.

Location: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue within a book of strategic digital native accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your account's landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead expansion by pinpointing new use cases and business units. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic account Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solution Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify robust set of business drivers behind all opportunities Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders Experience selling emerging technologies or complex solutions to large digital native companies. Ability to navigate technical evaluations and translate complex capabilities into business value A strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups A consultative sales approach with focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions A high level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously A passion for AI and emerging technologies with enthusiasm for helping organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; New York Workplace: Hybrid Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Software Engineer, Backend Platform to support our mission. This role can be based in San Francisco or New York and open to those who are able to be in-office 3 days per week on a hybrid work model. About the Team The Backend Platform team builds the foundational systems and infrastructure that power Patreon's creator platform. We're responsible for the core backend services, APIs, databases, infrastructure, and developer tooling that enable product teams across the company to ship quickly, reliably, and at scale. This team is growing and investing in foundational platform capabilities that will support Patreon's next phase of scale and product expansion. About the Role - Design and drive technical solutions for key systems within Patreon's backend platform and foundational infrastructure - Lead architecture and implementation of scalable distributed systems, APIs, event-driven systems, and platform services - Contribute to and lead modernization efforts across backend architecture, service boundaries, data access patterns, and infrastructure - Help establish and uphold technical standards and best practices around reliability, performance, scalability, and maintainability - Partner with product engineering teams to ensure platform capabilities align with business and product needs - Drive technical decision-making for your team's projects, partnering cross-functionally as needed - Help evolve operational maturity around incident management, resiliency, and production excellence - Mentor Senior and mid-level engineers through design reviews, technical guidance, and hands-on collaboration What you'll need - Significant experience building large-scale backend systems, with depth in distributed systems and platform architecture (typically 6-8+ years, or equivalent demonstrated expertise) - Strong expertise in distributed systems, high-throughput APIs, and low-latency architectures that support millions of DAUs - Experience with databases, caching systems, and storage technologies (e.g. MySQL, Postgres, Redis, DynamoDB) - Strong understanding of data modeling, storage systems, caching, queues, and event-driven architectures - Experience in performance optimization across APIs, databases, caching layers, and distributed services - Strong operational excellence mindset, including incident response and production debugging - Experience operating systems in cloud-native environments such as AWS and Kubernetes-based infrastructure - Proficiency in one or more backend languages such as Python, Go, Java, or Rust - Ability to communicate architectural trade-offs clearly in writing and in cross-functional forums - Experience mentoring Senior and mid-level engineers and contributing to engineering culture through design reviews, documentation, or team standards We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you're excited about a role but your past experience doesn't match with every bullet point outlined above, we strongly encourage you to apply anyway. If you're a creator at heart, are energized by our mission, and share our company values, we'd love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They're the reason we're here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don't quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.com Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office three days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role's job family. The final offer will be based on candidate's experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Regulatory Counsel to lead our legal work on AI regulation in the United States and to support our global AI regulatory posture. In this role, you will be an in-house regulatory lawyer for Anthropic's US AI regulation and a key contributor to our global frontier AI compliance strategy. You will provide regulatory-readiness counseling as new laws are developed, day-to-day advice once they are in force, and legal support for Anthropic's non-contentious engagement with US regulators and standards bodies. While the role is US-focused, AI regulation is inherently global: you will help ensure a consistent worldwide compliance posture, coordinate closely with colleagues leading our EU and international workstreams, and contribute to EU AI Act and other international work where it overlaps with your areas. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, cross-functionally with Legal, Compliance, Safeguards, Security, Policy, Research, and product teams. Key responsibilities Serve as one of Anthropic's lead in-house regulatory counsel for US AI regulation, covering applicability analysis, readiness, day-to-day advice, and compliance-program design Own US regulatory compliance deliverables end to end, such as published safety and transparency frameworks, model documentation obligations, and incident-reporting requirements Track legislative, regulatory, and standards developments across US federal and state jurisdictions (and internationally where relevant), assess applicability and impact on Anthropic's business and products, and design compliance approaches well in advance of obligations taking effect Counsel legal, compliance, safety, security, and business teams on day-to-day regulatory questions once laws are in force, translating complex and often ambiguous requirements into practical guidance and scalable compliance programs Support Anthropic's engagement with US AI regulators, enforcement agencies, and standards bodies — including notifications, information requests, reporting obligations, and voluntary framework and standards processes — in close partnership with Policy Partner with Anthropic's Policy and Policy Legal teams on pre-legislative and rulemaking engagement, including comment letters and regulatory submissions, translating policy positions into legally-grounded regulatory positions Partner with Anthropic's Litigation and Regulatory Investigations Legal teams on litigation and regulatory enforcement concerning AI regulation Contribute to Anthropic's global frontier AI regulatory work where it intersects with US obligations Minimum qualifications JD from an accredited law school and active membership in at least one US state bar Hands-on experience advising a technology business (in-house or at a leading law firm) on emerging regulatory regimes, including taking questions from first read of a statute through to a documented compliance position and a shipped artifact Experience engaging with regulators, enforcement agencies, or standards bodies in a non-contentious supervisory capacity Experience drafting regulatory compliance deliverables, such as compliance policies, regulatory submissions, or published compliance frameworks Ability to communicate complex legal concepts clearly to technical, policy, product, and business audiences Preferred qualifications 8–12 years of regulatory legal experience, with substantive depth in technology regulation and hands-on exposure to AI-specific frameworks Direct experience with frontier AI regulatory regimes — California SB 53, the Colorado AI Act, or comparable state laws; or the EU AI Act and GPAI Code of Practice Experience at a frontier AI company, large technology platform, or other hyper-scaling technology business operating under novel regulatory regimes Familiarity with adjacent laws that intersect with AI regulation — e.g., privacy and data protection, consumer protection, product safety, and export controls Familiarity with model evaluation, capability testing, or AI safety concepts A background that combines private practice and in-house experience Comfort with ambiguity and the ability to develop novel compliance approaches in areas without established precedent Strong organizational skills to run several workstreams in parallel and keep compliance artifacts current without prompting Excellence at cross-functional collaboration Passion for responsible AI development and getting the balance right between innovation and appropriate safeguards Understanding of how to build constructive long-term relationships with regulators and standards bodies Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud. Responsibilities: Model Safety Across Clouds Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces Drive our transparency commitments to customers and partners on data access, review, and enforcement Fraud & Abuse Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing Define the fraud signals we exchange with each cloud partner and turn them into product requirements that influence growth initiatives Cross-functional Leadership Engage directly with enterprise security, risk, and compliance leaders to understand their requirements and turn them into roadmap priorities Be Anthropic's product counterpart to trust & safety, security, and compliance teams at AWS, Google, and Microsoft Work with Safeguards, Inference, Policy, Security, Legal, and multi-cloud engineering to ship one coherent set of controls across three clouds Partner with sales and partnerships to support enterprise evaluations where data-handling and safety requirements are decisive Work with marketing and partner teams on how we position our safeguards externally Minimum requirements: Have 10+ years of experience. Have 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software. Operate with high autonomy in ambiguous, fast-moving environments, with a track record of executing across teams and organizations. Are an excellent written communicator and able to drive clarity out of complexity. Are equally fluent in policy nuance and systems detail, and can explain the tradeoff between them to lawyers, engineers, go to market teams, and partner executives alike. Preferred requirements Prior product experience in trust & safety, security, privacy, or compliance. Have built or shipped products with a hyper-scaler as a partner — you know how to align strategic goals and deliver impact over multiple quarters in partnership with an external third party Have owned a top line revenue target while being held to counter-risk outcome — a fraud-loss number, an abuse rate, a compliance authorization, an enforcement program — not just a product roadmap. Direct experience on a trust & safety, fraud, or security product team at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces. Background in AI safety, content moderation, or abuse-detection systems. Designed incident-response or escalation processes that span more than one company. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE We’re hiring a GTM Engineer to build the data, systems, and growth infrastructure behind Avoca’s next stage of growth. Our ambition is to build a world-class GTM engine. We’re looking for someone excited to build AI-powered systems that give a small team enormous leverage and have an outsized impact on revenue. You’ll build the engine behind our outbound motion: mapping and enriching our target market, finding the signals that indicate which accounts are most likely to buy, and turning those signals into relevant outreach and timely action for our Sales team. You’ll also build and scale our autonomous outbound email program from the ground up, using AI-powered workflows to run personalized campaigns to thousands of accounts, while maintaining strong sending infrastructure and deliverability. Beyond outbound, you’ll build the data pipelines, integrations, automations, and internal tools that make our Growth and Sales teams more effective. This is a builder-operator role: you’ll put the systems you create into practice, learn from their performance, and keep improving them. We’re looking for someone with the technical ability to build complex systems and the commercial judgment to focus that work on qualified pipeline and revenue. You’ll report directly to the Head of Growth and work closely with Sales and RevOps to turn better data, signals and workflows into pipeline. WHAT YOU’LL DO - Build, run, and scale our autonomous outbound email engine end-to-end: from campaign strategy and execution to sending infrastructure, deliverability, measurement, and optimization — turning it into a major source of qualified pipeline - Build and ship AI agents and GTM workflows for prospect research, account prioritization, personalization, content development and other repeatable work; continuously identify new opportunities to automate and expect to launch new agents regularly - Map and enrich Avoca’s total addressable market, building the reliable account and contact data that powers our campaigns and outbound SDR motion - Identify, test, and activate buying signals that surface the right accounts at the right time and trigger relevant outreach or rep action - Build the integrations, automations, and internal tools that connect our data sources, CRM, enrichment providers, outbound platforms, and Sales workflows - Partner closely with SDRs, Sales, and RevOps to improve targeting, lead routing, rep productivity, and the conversion of signals into pipeline - Evaluate our GTM technology stack and decide what to buy, build or automate WHAT YOU’LL BRING - 3+ years of experience in GTM engineering, growth ops, outbound, or another technical GTM role in a B2B environment - A track record of building and operating large-scale outbound email programs that generated qualified pipeline - Deep knowledge of outbound infrastructure and deliverability, including domain and inbox provisioning, authentication, warm-up, rotation, bounce management, and sender reputation - Demonstrated expertise building AI-powered workflows for research, segmentation, personalization or campaign execution - Hands-on experience building sophisticated workflows in tools such as Clay, Claude Code, n8n, Make, Zapier, Smartlead, or similar platforms - Strong technical foundations and comfort working with APIs, webhooks, data integrations, and conditional logic; working knowledge of SQL, Python, or JavaScript - Experience building, enriching, and maintaining large account and contact datasets using multiple data providers and enrichment waterfalls - Strong commercial judgment and the ability to turn customer, market, and behavioral data into repeatable growth systems that create pipeline WHO YOU ARE - You’re a builder who wants to own both the system and the business outcome - You combine technical depth with commercial instinct and can move comfortably between building AI-powered workflows, campaign strategy, and pipeline review - You’re deeply curious and enjoy uncovering unconventional data, signals, and workflows that create alpha - You move quickly, test pragmatically, and make good decisions without waiting for perfect data or an established playbook - You’re rigorous about the details - You build for the people using your systems and work closely with Growth, Sales, and RevOps to understand what they actually need - You’re high-agency, resourceful, and excited to work in person in NYC with an ambitious team that moves quickly and holds a high bar BONUS POINTS - Experience building signal-based outbound for a mid-market sales motion - Experience supporting or working closely with a scaled SDR organization - Experience in vertical SaaS, home services, or another market with a large, identifiable universe of target businesses - Experience building agentic workflows, AI-powered internal tools, or autonomous GTM systems from scratch   BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided   Compensation: The expected on target earnings for this role is $160,000-$210,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE We’re hiring a Growth Lead, Performance to build and scale the acquisition engine that powers Avoca’s next stage of growth. Your initial focus will be building and scaling our paid acquisition channels, starting with paid social and paid search, into meaningful sources of qualified pipeline. You’ll own these channels end to end: from strategy and execution to creative testing, conversion, measurement, and optimization. But your mandate won’t stop at paid acquisition. We’re looking for a growth builder with broad demand generation instincts who can identify new opportunities, build channels from scratch, and turn what works into repeatable engines. You’re equally comfortable setting strategy and getting into the details of a campaign, creative concept, landing page, or experiment. The scope is wide and the whitespace is real. We’re looking for a smart, high-agency person who builds their own leverage. You’ll report directly to the Head of Growth and work on the company’s highest-priority channels and growth bets. WHAT YOU'LL DO - Build and scale paid social and paid search into major revenue drivers for our business - Own paid acquisition end to end, including strategy, execution, budget allocation, creative testing, conversion, measurement, and optimization - Build a high-velocity experimentation engine across audiences, messaging, creative, offers, and landing pages - Translate customer insights and performance data into campaigns that resonate with home services operators and drive qualified pipeline - Set performance targets and allocate investment based on pipeline, CAC, channel efficiency, and revenue - Partner closely with Sales, RevOps, Product Marketing to ensure a tight feedback loop on ICPs, lead quality, SLAs and pipeline handoff process - Use AI and automation to increase the speed and quality of campaign development, analysis, and experimentation - Identify, test, and scale growth channels beyond paid acquisition, turning the most promising opportunities into repeatable growth engines WHAT YOU’LL BRING - 5+ years of experience in performance marketing, growth marketing, or demand generation, ideally at a fast-growing B2B technology company - A strong track record of personally building and scaling paid social programs, with deep expertise in Meta - Strong paid search experience and fluency across the acquisition funnel, from media and creative through conversion and measurement - Experience owning meaningful budgets and making investment decisions based on pipeline quality, marginal efficiency, and growth potential - A history of managing toward qualified pipeline and revenue, not just leads, clicks, or platform-reported conversions - Strong analytical and creative instincts, with the ability to turn customer insight and performance data into clear hypotheses and compelling campaigns - Broad growth experience and the ability to build, test, and scale channels beyond paid media - Fluency with AI tools and a bias toward using automation to increase your output and learning velocity WHO YOU ARE - You’re a builder who wants to own both the work and the outcome, from setting the strategy to launching and optimizing the campaign - You have deep performance marketing expertise, but you don’t define yourself solely by paid media — you’re energized by finding and building whatever channel can move the number - You think in terms of qualified pipeline, CAC, and revenue while caring deeply about the details that drive them - You combine analytical rigor with strong creative judgment and understand that the message and offer matter as much as the media plan - You move quickly, run disciplined experiments, and make clear decisions even when the data is imperfect - You create clarity in ambiguous situations and don’t need an established playbook, a large team, or perfect information to make progress - You’re curious, resourceful, and willing to roll up your sleeves — no task is too small when it helps move the company forward - You want to work in person in NYC with an ambitious team that moves quickly and holds a high bar BONUS POINTS - Experience marketing to mid-market buyers in a high-velocity sales motion - Experience in vertical SaaS or home services - A track record of building new growth channels from zero and scaling into meaningful sources of pipeline BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided Compensation: The expected on target earnings for this role is $160,000–$210,000, with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca's total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.